A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study
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DOI: 10.1186/s12885-025-14759-9
Abstract: To explore the efficacy of a deep learning (DL) model in predicting perineural invasion (PNI) in prostate cancer (PCa) by conducting multiparametric MRI (mpMRI)-based tumor heterogeneity analysis. This retrospective study included 397 patients with PCa… read more here.
Keywords: cancer; analysis; habitat analysis; vad ... See more keywords
An interpretable machine learning model for predicting visceral pleural invasion in cT1 lung adenocarcinoma based on habitat analysis
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DOI: 10.21037/qims-2024-2890
Abstract: Background Visceral pleural invasion (VPI) is a critical prognostic factor in early-stage lung adenocarcinoma, influencing T staging and treatment decisions, yet its preoperative assessment remains challenging due to reliance on postoperative pathological confirmation. This study… read more here.
Keywords: lung; lung adenocarcinoma; analysis; habitat analysis ... See more keywords
Habitat analysis based on magnetic resonance imaging for the prediction of prostate cancer: a dual-center study
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DOI: 10.21037/qims-2025-223
Abstract: Background The application of habitat analysis is anticipated to enhance the diagnostic efficacy of magnetic resonance imaging (MRI) in prostate cancer (PCa) by providing a more accurate reflection of the microenvironmental characteristics within the lesion.… read more here.
Keywords: prostate; analysis; pca; habitat analysis ... See more keywords
Predicting white-matter hyperintensity progression and cognitive decline in patients with cerebral small-vessel disease: a magnetic resonance-based habitat analysis
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DOI: 10.21037/qims-24-238
Abstract: Background White-matter hyperintensity (WMH) is the key magnetic resonance imaging (MRI) marker of cerebral small-vessel disease (CSVD). This study aimed to investigate whether habitat analysis based on physiologic MRI parameters can predict the progression of… read more here.
Keywords: cognitive decline; white matter; habitat analysis; wmh ... See more keywords